In:
Frontiers in Aging Neuroscience, Frontiers Media SA, Vol. 15 ( 2023-1-26)
Abstract:
Graph theory models a network by its nodes (the fundamental unit by which graphs are formed) and connections. ‘Degree’ hubs reflect node centrality (the connection rate), while ‘connector’ hubs are those linked to several clusters of nodes (mainly long-range connections). Methods Here, we compared hubs modeled from measures of interdependencies of between-electrode resting-state eyes-closed electroencephalography (rsEEG) rhythms in normal elderly (Nold) and Alzheimer’s disease dementia (ADD) participants. At least 5 min of rsEEG was recorded and analyzed. As ADD is considered a ‘network disease’ and is typically associated with abnormal rsEEG delta ( & lt;4 Hz) and alpha rhythms (8–12 Hz) over associative posterior areas, we tested the hypothesis of abnormal posterior hubs from measures of interdependencies of rsEEG rhythms from delta to gamma bands (2–40 Hz) using eLORETA bivariate and multivariate-directional techniques in ADD participants versus Nold participants. Three different definitions of ‘connector’ hub were used. Results Convergent results showed that in both the Nold and ADD groups there were significant parietal ‘degree’ and ‘connector’ hubs derived from alpha rhythms. These hubs had a prominent outward ‘directionality’ in the two groups, but that ‘directionality’ was lower in ADD participants than in Nold participants. Discussion In conclusion, independent methodologies and hub definitions suggest that ADD patients may be characterized by low outward ‘directionality’ of partially preserved parietal ‘degree’ and ‘connector’ hubs derived from rsEEG alpha rhythms.
Type of Medium:
Online Resource
ISSN:
1663-4365
DOI:
10.3389/fnagi.2023.780014
DOI:
10.3389/fnagi.2023.780014.s001
DOI:
10.3389/fnagi.2023.780014.s002
DOI:
10.3389/fnagi.2023.780014.s003
DOI:
10.3389/fnagi.2023.780014.s004
DOI:
10.3389/fnagi.2023.780014.s005
DOI:
10.3389/fnagi.2023.780014.s006
DOI:
10.3389/fnagi.2023.780014.s007
DOI:
10.3389/fnagi.2023.780014.s008
DOI:
10.3389/fnagi.2023.780014.s009
DOI:
10.3389/fnagi.2023.780014.s010
DOI:
10.3389/fnagi.2023.780014.s011
DOI:
10.3389/fnagi.2023.780014.s012
Language:
Unknown
Publisher:
Frontiers Media SA
Publication Date:
2023
detail.hit.zdb_id:
2558898-9
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